Standout Papers

Artificial Intelligence Applied to Battery Research: Hype or Reality? 2021 2026 2022 2024307
  1. Artificial Intelligence Applied to Battery Research: Hype or Reality? (2021)
    Teo Lombardo, Marc Duquesnoy et al. Chemical Reviews

Immediate Impact

1 from Science/Nature 65 standout
Sub-graph 1 of 21

Citing Papers

Physics-informed neural network for lithium-ion battery degradation stable modeling and prognosis
2024 Standout
Tunnel‐Oriented VO2 (B) Cathode for High‐Rate Aqueous Zinc‐Ion Batteries
2024 Standout
5 intermediate papers

Works of Marc Duquesnoy being referenced

Machine learning 3D-resolved prediction of electrolyte infiltration in battery porous electrodes
2021
Data-driven assessment of electrode calendering process by combining experimental results, in silico mesostructures generation and machine learning
2020
and 2 more

Author Peers

Author Last Decade Papers Cites
Marc Duquesnoy 496 595 167 16 768
Thomas Knoche 562 791 101 10 930
Ruben Leithoff 638 814 65 11 968
Alain C. Ngandjong 545 591 98 18 767
Mohammad Shahjalal 413 547 40 16 657
T. Günther 579 803 101 15 930
Md. Sazal Miah 571 715 66 28 913
Paul Gasper 642 726 116 35 860
Mohammad Mominur Rahman 520 681 141 22 965
Jahedul Islam Chowdhury 244 390 46 21 828
Ashley Fly 419 747 148 31 869

All Works

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Rankless by CCL
2026